bart-cnn-samsum-peft
This model is a fine-tuned version of ernet1/bart-cnn-samsum-finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9743
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3206 | 1.0 | 19 | 3.0428 |
| 2.9259 | 2.0 | 38 | 2.4952 |
| 2.5908 | 3.0 | 57 | 2.1609 |
| 2.3481 | 4.0 | 76 | 2.0340 |
| 2.2173 | 5.0 | 95 | 1.9743 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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